mirror of
https://github.com/Tencent/WeKnora.git
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4715b10642
- Introduced a new built-in agent, "Wiki Researcher," designed for navigating and answering questions based on Wiki knowledge bases, complete with multilingual support. - Added a corresponding system prompt that outlines the agent's role, mission, and workflow for effective knowledge graph traversal. - Updated the agent configuration to include specific tools and parameters tailored for the Wiki Researcher, enhancing its functionality and user interaction. - Removed deprecated wiki tools from the agent service to streamline the toolset and improve performance. These changes significantly enhance the capabilities of the agent system, providing users with a specialized tool for in-depth research and information retrieval from Wiki sources.
187 lines
6.2 KiB
YAML
187 lines
6.2 KiB
YAML
# Built-in Agent Configuration with i18n support
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# Each agent has localized name, description, avatar, and config overrides per language.
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# The "default" locale is used as fallback when the user's language is not found.
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builtin_agents:
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- id: "builtin-quick-answer"
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avatar: ""
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is_builtin: true
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i18n:
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default:
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name: "Quick Answer"
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description: "Knowledge base RAG Q&A for fast and accurate answers"
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zh-CN:
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name: "快速问答"
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description: "基于知识库的 RAG 问答，快速准确地回答问题"
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zh-TW:
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name: "快速問答"
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description: "基於知識庫的 RAG 問答，快速準確地回答問題"
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ja-JP:
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name: "クイック回答"
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description: "ナレッジベース RAG Q&A による迅速で正確な回答"
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ko-KR:
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name: "빠른 답변"
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description: "지식 베이스 RAG Q&A를 통한 빠르고 정확한 답변"
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config:
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agent_mode: "quick-answer"
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system_prompt_id: "default_kb"
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context_template_id: "default_context"
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temperature: 0.7
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max_completion_tokens: 2048
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web_search_enabled: true
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web_search_max_results: 5
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multi_turn_enabled: true
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history_turns: 5
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kb_selection_mode: "all"
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retrieve_kb_only_when_mentioned: false
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faq_priority_enabled: true
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faq_direct_answer_threshold: 0.9
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faq_score_boost: 1.2
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embedding_top_k: 10
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keyword_threshold: 0.3
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vector_threshold: 0.5
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rerank_top_k: 10
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rerank_threshold: 0.3
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enable_query_expansion: true
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enable_rewrite: true
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fallback_strategy: "model"
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- id: "builtin-smart-reasoning"
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avatar: ""
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is_builtin: true
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i18n:
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default:
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name: "Smart Reasoning"
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description: "ReAct reasoning framework with multi-step thinking and tool calling"
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zh-CN:
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name: "智能推理"
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description: "ReAct 推理框架，支持多步思考与工具调用"
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zh-TW:
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name: "智能推理"
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description: "ReAct 推理框架，支援多步思考與工具呼叫"
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ja-JP:
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name: "スマート推論"
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description: "ReAct 推論フレームワーク、マルチステップ思考とツール呼び出し対応"
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ko-KR:
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name: "스마트 추론"
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description: "ReAct 추론 프레임워크, 다단계 사고 및 도구 호출 지원"
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config:
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agent_mode: "smart-reasoning"
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system_prompt: ""
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temperature: 0.7
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max_completion_tokens: 2048
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max_iterations: 50
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kb_selection_mode: "all"
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retrieve_kb_only_when_mentioned: false
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allowed_tools:
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- "thinking"
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- "todo_write"
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- "knowledge_search"
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- "grep_chunks"
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- "list_knowledge_chunks"
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- "query_knowledge_graph"
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- "get_document_info"
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web_search_enabled: true
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web_search_max_results: 5
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reflection_enabled: false
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multi_turn_enabled: true
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history_turns: 5
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faq_priority_enabled: true
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faq_direct_answer_threshold: 0.9
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faq_score_boost: 1.2
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embedding_top_k: 10
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keyword_threshold: 0.3
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vector_threshold: 0.5
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rerank_top_k: 10
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rerank_threshold: 0.3
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- id: "builtin-data-analyst"
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avatar: "📊"
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is_builtin: true
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i18n:
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default:
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name: "Data Analyst"
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description: "Professional data analysis agent with SQL query and statistical analysis for CSV/Excel files"
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zh-CN:
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name: "数据分析师"
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description: "专业的数据分析智能体，支持对 CSV/Excel 文件进行 SQL 查询和统计分析"
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zh-TW:
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name: "數據分析師"
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description: "專業的數據分析智能體，支援對 CSV/Excel 檔案進行 SQL 查詢和統計分析"
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ja-JP:
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name: "データアナリスト"
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description: "CSV/Excel ファイルの SQL クエリと統計分析に対応するプロフェッショナルなデータ分析エージェント"
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ko-KR:
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name: "데이터 분석가"
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description: "CSV/Excel 파일에 대한 SQL 쿼리 및 통계 분석을 지원하는 전문 데이터 분석 에이전트"
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config:
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agent_mode: "smart-reasoning"
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system_prompt_id: "data_analyst"
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temperature: 0.3
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max_completion_tokens: 4096
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max_iterations: 30
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kb_selection_mode: "all"
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retrieve_kb_only_when_mentioned: false
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supported_file_types:
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- "csv"
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- "xlsx"
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allowed_tools:
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- "thinking"
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- "todo_write"
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- "data_schema"
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- "data_analysis"
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web_search_enabled: false
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web_search_max_results: 0
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reflection_enabled: true
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multi_turn_enabled: true
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history_turns: 10
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embedding_top_k: 5
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keyword_threshold: 0.3
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vector_threshold: 0.5
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rerank_top_k: 5
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rerank_threshold: 0.3
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- id: "builtin-wiki-researcher"
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avatar: "📚"
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is_builtin: true
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i18n:
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default:
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name: "Wiki Researcher"
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description: "Specialized agent for navigating and answering questions based on Wiki knowledge bases"
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zh-CN:
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name: "维基研究员"
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description: "专注于在 Wiki 知识库中进行导航和问答的智能体"
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zh-TW:
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name: "維基研究員"
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description: "專注於在 Wiki 知識庫中進行導航和問答的智能體"
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ja-JP:
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name: "Wikiリサーチャー"
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description: "Wikiナレッジベースでのナビゲーションと質問応答に特化したエージェント"
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ko-KR:
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name: "위키 연구원"
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description: "위키 지식 베이스를 탐색하고 질문에 답변하는 데 특화된 에이전트"
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config:
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agent_mode: "smart-reasoning"
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system_prompt_id: "wiki_researcher"
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temperature: 0.7
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max_completion_tokens: 4096
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max_iterations: 30
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kb_selection_mode: "all"
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retrieve_kb_only_when_mentioned: false
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allowed_tools:
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- "thinking"
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- "todo_write"
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- "wiki_search"
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- "wiki_read_page"
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web_search_enabled: false
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web_search_max_results: 0
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reflection_enabled: false
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multi_turn_enabled: true
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history_turns: 10
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embedding_top_k: 10
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keyword_threshold: 0.3
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vector_threshold: 0.5
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rerank_top_k: 10
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rerank_threshold: 0.3
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